The dynamic resilience of urban labour networks
Both cities and markets are well understood as complex systems which are amenable to analysis using physically inspired methods. Cities have shown fascinating universality with size, while labour markets modelled as networks have considerable explanatory power. Labour markets are a particularly attr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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The Royal Society
2023-07-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.230214 |
| _version_ | 1827350922023403520 |
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| author | Xiangnan Feng Alex Rutherford |
| author_facet | Xiangnan Feng Alex Rutherford |
| author_sort | Xiangnan Feng |
| collection | DOAJ |
| description | Both cities and markets are well understood as complex systems which are amenable to analysis using physically inspired methods. Cities have shown fascinating universality with size, while labour markets modelled as networks have considerable explanatory power. Labour markets are a particularly attractive domain of study in this context due to societal importance, the influx of high-resolution data as well as exogenous influence of automation. While much previous work has studied the economic characteristics of cities as a function of size and examined the exposure of urban economies to automation, this has often been from a static perspective. In this work, we examine the diffusive properties of labour markets and examine their variance across cities. More specifically, we identify the occupations which are most important in promoting the diffusion of beneficial or deleterious properties. To this end, we propose a new measure of node centrality empSI. We find that these properties of influence vary considerably with city size. |
| first_indexed | 2024-03-08T01:49:32Z |
| format | Article |
| id | doaj.art-f9c862951fbe45378a711b4cb079290b |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-03-08T01:49:32Z |
| publishDate | 2023-07-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-f9c862951fbe45378a711b4cb079290b2024-02-14T11:18:28ZengThe Royal SocietyRoyal Society Open Science2054-57032023-07-0110710.1098/rsos.230214The dynamic resilience of urban labour networksXiangnan Feng0Alex Rutherford1Centre for Humans and Machines, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, GermanyCentre for Humans and Machines, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, GermanyBoth cities and markets are well understood as complex systems which are amenable to analysis using physically inspired methods. Cities have shown fascinating universality with size, while labour markets modelled as networks have considerable explanatory power. Labour markets are a particularly attractive domain of study in this context due to societal importance, the influx of high-resolution data as well as exogenous influence of automation. While much previous work has studied the economic characteristics of cities as a function of size and examined the exposure of urban economies to automation, this has often been from a static perspective. In this work, we examine the diffusive properties of labour markets and examine their variance across cities. More specifically, we identify the occupations which are most important in promoting the diffusion of beneficial or deleterious properties. To this end, we propose a new measure of node centrality empSI. We find that these properties of influence vary considerably with city size.https://royalsocietypublishing.org/doi/10.1098/rsos.230214labour marketsskill spreadingcomplex networksoccupation influence |
| spellingShingle | Xiangnan Feng Alex Rutherford The dynamic resilience of urban labour networks Royal Society Open Science labour markets skill spreading complex networks occupation influence |
| title | The dynamic resilience of urban labour networks |
| title_full | The dynamic resilience of urban labour networks |
| title_fullStr | The dynamic resilience of urban labour networks |
| title_full_unstemmed | The dynamic resilience of urban labour networks |
| title_short | The dynamic resilience of urban labour networks |
| title_sort | dynamic resilience of urban labour networks |
| topic | labour markets skill spreading complex networks occupation influence |
| url | https://royalsocietypublishing.org/doi/10.1098/rsos.230214 |
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